Sheral Kumar
I am a recent Master of Applied Science graduate from the University of Toronto, supervised by Harry Ruda. My Master’s thesis focused on the development of a multimodal imaging system to accelerate biological research in domains like agriculture. In this work, I implemented real-time pipelines for 5D data ingestion, aggregation, and processing across 6 modalities, including both backend infrastructure and frontend user interfaces.
Broadly, I am interested in developing cutting-edge infrastructure and tools, leveraging my background at the intersection of hardware and software.
I previously received my Bachelor of Applied Science in Engineering Science at the University of Toronto, with a major in Robotics Engineering and a minor in Artificial Intelligence Engineering.
- Programming Languages: Python, C/C++, MATLAB, SQL
- Hardware: Embedded Systems, Robotics, Microcontrollers, Sensors, Actuators, PCBs
- Machine Learning: Scikit-learn, TensorFlow, PyTorch, OpenCV
- Other: Git, Docker, Linux, AWS, GCP
Patents & Publications
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Paper (Peer-Reviewed)
Sensing and Bio-Sensing Research -
SPIE
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Patent
World Intellectual Property Organization (Application), 2025. -
Patent
United States Patent and Trademark Office (Granted), 2023.
Projects
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Course Project
Internet-of-Things smart garbage bin network developed to reduce littering, improve maintenance, and optimize collection efficiency in Toronto, Ontario. Jan-Apr 2024. -
Capstone
Autonomous drone capable of performing mapping, localization, waypoint navigation, object detection, and collision avoidance utilizing onboard sensing and computing. Jan-Apr 2023. -
Course Project
ML pipeline which differentiates between 5 classes of cancer images: first between colon and lung cell images, then between malignant and benign cells within these categories, and then finally into specific types of malignant cells.
© Copyright Sheral Kumar 2025. Theme courtesy of Yaoyao Liu.